Intrinsic dimension estimation: advances and open problems
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Publication:1750498
DOI10.1016/j.ins.2015.08.029zbMath1392.62171OpenAlexW2467203645MaRDI QIDQ1750498
Antonino Staiano, Francesco Camastra
Publication date: 22 May 2018
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2015.08.029
intrinsic dimensionmaximum likelihoodcurse of dimensionalitycorrelation dimensiondimensionality reduction
Factor analysis and principal components; correspondence analysis (62H25) Measures of association (correlation, canonical correlation, etc.) (62H20) Point estimation (62F10)
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Cites Work
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- On the shortest spanning subtree of a graph and the traveling salesman problem
- Rectifiable sets and the traveling salesman problem
- Testing for nonlinearity in time series: the method of surrogate data
- Intrinsic dimension estimation of manifolds by incising balls
- Measuring the strangeness of strange attractors
- Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems
- Data dimensionality estimation methods: A survey.
- An axiomatic approach to intrinsic dimension of a dataset
- Novel high intrinsic dimensionality estimators
- A scale-based approach to finding effective dimensionality in manifold learning
- Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
- DANCo: an intrinsic dimensionality estimator exploiting angle and norm concentration
- Dimension, entropy and Lyapunov exponents
- An Intrinsic Dimensionality Estimator from Near-Neighbor Information
- New Directions in Dynamical Systems
- Stastical Estimation of the Intrinsic Dimensionality of a Noisy Signal Collection
- Probabilistic Principal Component Analysis
- Ergodic theory of chaos and strange attractors
- Deterministic Nonperiodic Flow
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks
- An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
- Probability Inequalities for Sums of Bounded Random Variables
- Geodesic Entropic Graphs for Dimension and Entropy Estimation in Manifold Learning
- Magnification Control in Self-Organizing Maps and Neural Gas
- The intrinsic dimensionality of signal collections
- An Algorithm for Finding Intrinsic Dimensionality of Data
- A Class of Statistics with Asymptotically Normal Distribution
